Tuesday 11 Mar 2014Log-mean linear regression models for assessing the effect of HIV-infection on multimorbidity in case-control study

Monia Lupparelli - University of Bologna

Plymouth University, Roland Levisky 207 15:00-16:00

We propose a multivariate regression approach for binary variables based on the log-mean linear link function for the response variables. This approach has shown to provide useful insights for assessing the eff ect of HIV-infection on multimorbidity, defined as the occurrence of co-existing noninfectious diseases for a sample of patients deriving from a
case-control study. The coeffcients of these regression models are log-linear combinations of relative risks and we show that submodels identi ed by zero regression coefficients encode relevant hypotheses for the considered application.

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